Personal Profile

Dr. Liu Haikun is a professor in the School of Computer Science and Technology, Huazhong University of Science and Technology (HUST), China. He received his Ph.D degree in computer science and technology from HUST in 2012. Liu worked as a research fellow at Nanyang Technological University in Singapore between 2013 and 2015. He was awarded the national youth talent support program. He has co-authored more than 70 papers in most prestigious conferences and Journals, such as ASPLOS/HPCA/SC/ICS/HPDC and TC/TCAD/TPDS/TACO. He holds more than 10 patents in China and U.S. His current research interests include non-volatile memory, in-memory computing, and cloud computing. He was awarded the second prize of National Natural Science Award in 2021, and the first prize of Natural Science Award of the Ministry of Education in 2018. He has served as the vice chair and area chair of the program committee in many international conferences, and the program committee of many prestigious conferences such as SC/ICDCS/Cluster/ISMM/CCGrid. He is a senior member of CCF and a member of the ACM/IEEE.

Academic Degrees

2007.3 ~ 2012.6

Huazhong University of Science and Technology   Doctoral Degree in Engineering - Postgraduate (Doctoral)

2004.9 ~ 2007.3

Huazhong University of Science and Technology   Master's Degree in Engineering - Postgraduate (Master's Degree)

2000.9 ~ 2004.6

North China Electric Power University   Undergraduate (Bachelor’s degree)

Professional Experience

2013.1-2015.1

Nanyang Technological University, Singapore – Research Fellow

Courses Taught

Foundations of Computer Systems

Awards and Honors

Basic Theories and Core Methods of Cloud Computing for Multi-tenant Resource Competition, the second Prize of National Natural Science Award

Key Technologies and Application of Software Definition for Memory Computing, the first prize of Shanghai Technology Invention Award

Basic Theories and Core Methods of Virtual Machine Resource Management in Cloud Computing Environment, the first prize of Natural Science Award of  the Ministry of Education

Selected Projects Funded

[1] Object Storage Systems Based on Distributed Shared Memory Pool (2022YFB4500303), National Key R&D Program of China, 2022.10-2025.09 (PI)

[2] Distributed Heterogeneous Memory Pool System based on RDMA (62072198), National Natural Science Foundation, 2021.01-2024.12, (PI)

[3] New Memory and Storage Technology (No. 2017YFB1001603), National Key R&D Program of China, 2017.10-2021.9 (PI)

[4] Research on Dynamic Reconfiguration Mechanism of Heterogeneous Memory System (No.61672251), National Natural Science Foundation, 2017.1-2020.12 (PI)

[5] Research on Scalable Virtualization driven by Extreme Supply and Demand (61732010), National Natural Science Foundation of China, 2018/01-2012/12

[6] Research on Technologies for Dynamic Management of High Efficiency and Energy Saving Memory Resource in Virtualization Environment (No.61300040), National Natural Science Foundation of China, 2014.1-2016.12 (PI)

Selected Publications

[1] Haikun Liu, Jiahong Xu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao, A Simulation Framework for Memristor-Based Heterogeneous Computing Architectures. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2022 (CCF A).

[2] Mingzhe Liu, Haikun Liu*, Chencheng Ye, Xiaofei Liao, Hai Jin, Yu Zhang, Ran Zheng, Liting Hu. 2022. Towards Low-Latency I/O Services for Mixed Workloads Using Ultra-Low Latency SSDs. In Proceedings of the 2022 International Conference on Supercomputing (ICS’22), June 28–30, 2022, Virtual Event, USA. ACM, New York, NY, USA, 12 pages. (CCF B).

[3] Cong Liu, Haikun Liu*, Hai Jin, Xiaofei Liao, Yu Zhang, Zhuohui Duan, Jiahong Xu, Huize Li. 2022. ReGNN: A ReRAM-based Heterogeneous Architecture for General Graph Neural Networks. In Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC’22), July 10–14, 2022, San Francisco, CA, USA. ACM, New York, NY, USA (CCF A).

[4] Zhuohui Duan, Haobo Wang, Haikun Liu*, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao. 2022. CLIMBER: Defending Phase Change Memory Against Inconsistent Write Attacks. In Proceedings of the 59th ACM/IEEE Design Automation Conference (DAC’22), July 10–14, 2022, San Francisco, CA, USA. ACM, New York, NY, USA (CCF A)

[5] Zhuohui Duan, Haodi Lu, Haikun Liu*, Xiaofei Liao, Hai Jin, Yu Zhang, Song Wu, Hardware-supported Remote Persistence for Distributed Persistent Memory, In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'21), 2021 (CCF A).

[6] Zhuohui Duan, Haikun Liu*, Haodi Lu, Xiaofei Liao, Hai Jin, Yu Zhang, Bingsheng He, Gengar: An RDMA-based Distributed Hybrid Memory Pool, Proceedings of the International Conference on Distributed Computing Systems (ICDCS’21), July 7-10, 2021, Washington DC, USA (CCF B).

[7] Hai Jin, Cong Liu, Haikun Liu*, Ruikun Luo, Jiahong Xu, Fubing Mao, and Xiaofei Liao "ReHy: A ReRAM-Based Digital/Analog Hybrid PIM Architecture for Accelerating CNN Training," in IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 11, pp. 2872-2884, 1 Nov. 2022 (CCF A).

[8] Haikun Liu, Renshan Liu, Xiaofei Liao, Hai Jin, Bingsheng He and Yu Zhang, "Object-level Memory Allocation and Migration in Hybrid Memory Systems," IEEE Transactions on Computers, vol.69, no.9, September 2020, pp.1401-1413 (CCF A)

[9] Hai Jin, Di Chen, Haikun Liu*, Xiaofei Liao, Rentong Guo, and Yu Zhang, Miss Penalty Aware Cache Replacement for Hybrid Memory Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 12, Dec. 2020, pp. 4669- 4682 (CCF A)

[10] Hai Jin, Zhiwei Li, Haikun Liu*, Xiaofei Liao and Yu Zhang, "Hotspot-aware Hybrid Memory Management for In-Memory Key-Value Stores," IEEE Transactions on Parallel and Distributed Systems, vol.31, no.4, April, 2020, pp.779-792 (CCF A)

[11] Xiaoyuan Wang, Haikun Liu*, Xiaofei Liao, Ji Chen, Hai Jin, Yu Zhang, Long Zheng, Bingsheng He, and Song Jiang. Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems. ACM Transactions on Architecture and Code Optimization (TACO). Vol. 16, No. 2, April, 2019, Article 11: 1-26 (CCF A)

[12] Haikun Liu, Bingsheng He, F2C: Enabling Fair and Fine-grained Resource Sharing in Multi-tenant IaaS Clouds, IEEE Transactions on Parallel and Distributed Systems, Vol.27, No.9, September 2016, pp. 2589-2602 (CCF A)

[13] Haikun Liu, Hai Jin, Xiaofei Liao, Wei Deng, Bingsheng He and Cheng-Zhong Xu, "Hotplug or Ballooning: A Comparative Study on Dynamic Memory Management Techniques for Virtual Machines," IEEE Transactions on Parallel and Distributed Systems, Vol. 26, No. 5, May 2015, pp. 1350-1363 (CCF A)

[14] Haikun Liu and Bingsheng He, "VMbuddies: Coordinating Live Migration of Multi-tier Applications in Cloud Environments," IEEE Transactions on Parallel and Distributed Systems, Vol.26, No.4, April 2015, pp. 1192-1205 (CCF A)

[15] Haikun Liu, Bingsheng He, “Reciprocal Resource Fairness: Towards Cooperative Multiple Resource Fair Sharing in IaaS Clouds”, International Conference for High Performance Computing, Networking, Storage and Analysis (SC’14), New Orleans, LA, USA, Nov. 16-21, 2014, pp. 970-981 (CCF A)

Professional Affiliations

2019.11-Now

Senior member of China Computer Federation (CCF)

2019.6-Now

Committee member of CCF TCARCH

2016.10-Now

Committee member of CCF TCHPC

Research Group

National Engineering Research Center for Big Data Technology and System

Services Computing Technology and System Lab

Cluster and Grid Computing Lab

Enrollment Information

Doctor candidates, master candidates and undergraduate students who are interested in computer architecture and system software (with special interests in in-memory computing, cloud computing, machine learning) are warmly welcomed to contact me with E-mail: hkliu@hust.edu.cn.

Personal Homepage

Web：http://faculty.hust.edu.cn/liuhaikun/en/index.htm